在現今,行動通訊網路的傳輸已經廣泛的應用在生活中,如傳遞簡訊,接收郵件,觀看影片等等......,因此無線用戶使用者以及多媒體的使用者也急遽的增加,使用者對於傳輸品質的效率也隨之提高,在面對時間、空間、頻譜以及功率等資源的品質的要求,以更有效的資源調度分配技術是迫切需要處理的問題之一,為了滿足用戶品質服務質量(Qualityof Service,QoS),並且面對眾多的用戶來說公平性也是一項課題。面對即將到來的寬頻無線通訊系統中,資源的分配以及資源的調度也逐漸變成研究者廣為討論一個問題,並且被視為提高無線網路系統的性能的關鍵技術之一。以正交分頻多工(Orthogonal Frequency-Division Multiplexing,OFDM) 為中繼站的系統中,除了可以有效的擴大涵蓋範圍區域的覆蓋度,並且也提高了無線通訊資源的利用率,而這歸功於吞吐量(Throughput) 有顯著的提升的關係。但是對於資源分配這一塊是我們必須極力去研究的方向。 在本論文中, 對於眾多的調度方法中,有兩種是我們所研究的資源分配方法,在大多數的研究中Modified Largest Weighted Delay First (M-LWDF) 常常被人廣泛的討論以及Max Utility for Multiple Services on Cognitive Radio (CRMUMS) 則是有別於MLWDF 的方式加以改進及進化,這兩種方法在本篇論文裡我們分別做探討以及分析比較。
In today's transfer mobile communication network has been widely applied in life, such as passing the letter, receive mail, watch videos, etc. ......, so wireless users and multimedia users also increased rapidly. User using transmission quality also will improve the efficiency. Quality in the face of time, space, spectrum, and power and other resources required to more efficient allocation of resource scheduling technology is one of the urgent need to deal with the problem. In order to meet user’s quality, the quality of service (QoS) allocation with numerous users fairness is also an issue. Faced with the upcoming broadband wireless communication systems, resource allocation and scheduling of resources is also becoming an widely discussed issue, and is considered one of the key technologies to improve the performance of wireless network systems. Orthogonal frequency division multiplexing (OFDM) relay system, in addition to effectively expand the scope of the coverage area, and also improve the utilization of wireless communication resources, and throughput have significant improvement in relations. But this one is the direction of the allocation of resources we have tried to study. In this paper, for many of the scheduling method, there are two resource allocation method under study, Modified Largest Weighted Delay First (M-LWDF) in most of the studies are often widely discussed and Max Utility for people Multiple Services on Cognitive Radio (CR-MUMS) is different from the MLWDF ways to improve and evolve, these two methods in this paper where we were doing to explore and analyzed.